Hi, this relates to the question "How to set a former environment?" asked yesterday. What is the best way to to return a function with a minimal environment from a function? Here is a dummy example:
foo <- function(huge) { scale <- mean(huge) function(x) { scale * x } } fcn <- foo(1:10e5) The problem with this approach is that the environment of 'fcn' does not only hold 'scale' but also the memory consuming object 'huge', i.e. env <- environment(fcn) ll(envir=env) # ll() from R.oo # member data.class dimension object.size # 1 huge numeric 1000000 4000028 # 2 scale numeric 1 36 save(env, file="temp.RData") file.info("temp.RData")$size # [1] 2007624 I generate quite a few of these and my 'huge' objects are of order 100Mb, and I want to keep memory usage as well as file sizes to a minimum. What I do now, is to remove variable from the local environment of 'foo' before returning, i.e. foo2 <- function(huge) { scale <- mean(huge) rm(huge) function(x) { scale * x } } fcn <- foo2(1:10e5) env <- environment(fcn) ll(envir=env) # member data.class dimension object.size # 1 scale numeric 1 36 save(env, file="temp.RData") file.info("temp.RData")$size # [1] 156 Since my "foo" functions are complicated and contains many local variables, it becomes tedious to identify and remove all of them, so instead I try: foo3 <- function(huge) { scale <- mean(huge); env <- new.env(); assign("scale", scale, envir=env); bar <- function(x) { scale * x }; environment(bar) <- env; bar; } fcn <- foo3(1:10e5) But, env <- environment(fcn) save(env, file="temp.RData"); file.info("temp.RData")$size # [1] 2007720 When I try to set the parent environment of 'env' to emptyenv(), it does not work, e.g. fcn(2) # Error in fcn(2) : attempt to apply non-function but with the new.env(parent=baseenv()) it works fine. The "base" environment has the empty environment as a parent. So, I try to do the same myself, i.e. new.env(parent=new.env(parent=emptyenv())), but once again I get fcn(2) # Error in fcn(2) : attempt to apply non-function Apparently, I do not understand enough here. Please, enlighten me. In the meantime I stick with foo2(). Best, Henrik ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel